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Learning to Run with Potential-Based Reward Shaping and Demonstrations
  from Video Data

Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data

16 December 2020
Aleksandra Malysheva
D. Kudenko
A. Shpilman
ArXivPDFHTML

Papers citing "Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data"

6 / 6 papers shown
Title
Learning to Run challenge solutions: Adapting reinforcement learning
  methods for neuromusculoskeletal environments
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Zhewei Huang
Shuchang Zhou
...
Sean F. Carroll
Jennifer Hicks
Sergey Levine
M. Salathé
Scott L. Delp
65
88
0
02 Apr 2018
Learning to Run challenge: Synthesizing physiologically accurate motion
  using deep reinforcement learning
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Jennifer Hicks
Sean F. Carroll
Sergey Levine
M. Salathé
Scott L. Delp
70
62
0
31 Mar 2018
DensePose: Dense Human Pose Estimation In The Wild
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
259
1,402
0
01 Feb 2018
Imitation from Observation: Learning to Imitate Behaviors from Raw Video
  via Context Translation
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
96
378
0
11 Jul 2017
DeepPose: Human Pose Estimation via Deep Neural Networks
DeepPose: Human Pose Estimation via Deep Neural Networks
Alexander Toshev
Christian Szegedy
3DH
155
2,769
0
17 Dec 2013
Potential-Based Shaping and Q-Value Initialization are Equivalent
Potential-Based Shaping and Q-Value Initialization are Equivalent
Eric Wiewiora
OffRL
58
178
0
26 Jun 2011
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